Jev versus text-generating models
Jev does not generate free-form text. A side-by-side video compares parallel decision-making with token-by-token text generation.
Is Jev a New Kind of AI or Just a Fast Classifier?
Post discusses Jev's positioning: Diogo Almeida claims it is up to 200x faster and 400x cheaper than LLMs, returning scores and probabilities instead of writing text.
SITUATION EXPLAINED: Is Jev a new kind of AI, or just a very fast classifier? • Diogo Almeida claims Jev is up to 200x faster and 400x cheaper than LLMs • Jev doesn't write anything. It returns scores and probabilities, fast and cheap • @tenobrus: "every flashy demo is
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Pricing, evaluations, and the name Jev
The launch thread explains code-and-AI workflow evaluations, the input price announced at launch, and free output tokens.
Jev Model: Decision-Making Probability Generation, 200× Faster and 400× Cheaper Than LLMs
This model is built for decision-making rather than text generation, outputting probabilities for each option in parallel instead of token-by-token responses. The author shares a simplified comparison of normal LLMs versus this Jev model.
